The AIGODS delegation has completed Mission 3 at Lincoln Agritech, in a visit that provided a focused opportunity to observe how an applied research organisation in New Zealand connects science, engineering, sensing, and industry-oriented development. In contrast with the earlier Auckland missions, which were more strongly centred on university-based research environments, this visit highlighted a translational setting in which technical work is directed towards practical Agritech solutions. For AIGODS, this made the mission especially relevant, since the project also operates at the intersection of technical development and operational application.

The visit was framed by the Green Futures context at Lincoln Agritech, which brings together GreenTech, Sensors, and Digital Ag teams. The introductory presentation outlined a broad applied portfolio including productivity mapping, pest detection in apples, clover detection, fruit and fruitlet counting, soil-moisture sensing, microwave sensing, fruit sizing, groundwater nitrate sensing, LiDAR-based crop scanning, UAV-related work, and Agritech engineering solutions. This overview was particularly valuable because it showed an integrated approach in which sensing, artificial intelligence, hardware development, and field deployment are treated as parts of the same innovation process rather than as isolated technical strands.

One of the most relevant presentations addressed automated vine pruning by learning from examples. The session described pruning as a difficult problem for rigid rule-based systems and introduced a graph-based representation of vine structure analysed through a graph neural network. Related applications in pruning training, virtual reality, and robotic implementation were also discussed. For AIGODS, this was especially meaningful because it showed how complex vineyard structures can be translated into machine-readable representations suitable for intelligent decision support and, potentially, for more operational forms of technological assistance in the field.

A second presentation focused on occlusion as a major limitation in crop perception. It examined how visible counts may differ from actual counts and discussed strategies such as early-season inflorescence counting, sensor combination, multi-angle acquisition, three-dimensional reconstruction, and mechanical leaf movement. This discussion was particularly relevant to AIGODS because it reinforced a principle that also matters in digital viticulture in the Douro, namely that observation quality depends not only on modelling choices, but also on acquisition design and canopy visibility. During the visit, the AIGODS poster was also presented in its StoryMaps version, which supported a direct exchange on the project’s dual focus on vineyard identification and yield estimation, as well as the broader challenge of converting analytical outputs into usable tools for institutional and sectoral decision-making.

Taken as a whole, the mission added an important applied dimension to the New Zealand cycle and revealed clear common ground in agricultural monitoring, artificial intelligence, remote sensing, and the practical implementation of research outputs. More reflections on the wider New Zealand mission cycle, including the main conference insights from ICCWS 2026, will be shared shortly.

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